| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1172 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 31.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1172 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "warmth" | | 1 | "chill" | | 2 | "familiar" | | 3 | "weight" | | 4 | "tracing" | | 5 | "depths" | | 6 | "flicker" | | 7 | "etched" | | 8 | "silence" | | 9 | "navigating" | | 10 | "traced" | | 11 | "echo" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 68 | | matches | (empty) | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1167 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 865 | | uniqueNames | 7 | | maxNameDensity | 2.54 | | worstName | "Aurora" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Blackwood | 1 | | Aurora | 22 | | Silas | 18 | | Cardiff | 1 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Aurora" | | 4 | "Silas" |
| | places | | | globalScore | 0.228 | | windowScore | 0.167 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 3 | | matches | | 0 | "tobacco that seemed to linger from another lifetime" | | 1 | "as if trying to map the lines that time had etched there" | | 2 | "sound that seemed to echo in the quiet space between them" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.571 | | wordCount | 1167 | | matches | | 0 | "not just the liquid but the flicker of a younger self hunched over law books in a cr" | | 1 | "not uncomfortable but thick with the things left unsaid" | | 2 | "not to drink but to gesture toward the door" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 28.46 | | std | 19.08 | | cv | 0.67 | | sampleLengths | | 0 | 85 | | 1 | 55 | | 2 | 6 | | 3 | 41 | | 4 | 9 | | 5 | 28 | | 6 | 11 | | 7 | 53 | | 8 | 8 | | 9 | 39 | | 10 | 13 | | 11 | 54 | | 12 | 23 | | 13 | 33 | | 14 | 20 | | 15 | 28 | | 16 | 26 | | 17 | 9 | | 18 | 48 | | 19 | 28 | | 20 | 29 | | 21 | 14 | | 22 | 25 | | 23 | 8 | | 24 | 32 | | 25 | 9 | | 26 | 36 | | 27 | 18 | | 28 | 7 | | 29 | 62 | | 30 | 25 | | 31 | 6 | | 32 | 39 | | 33 | 41 | | 34 | 39 | | 35 | 10 | | 36 | 12 | | 37 | 51 | | 38 | 8 | | 39 | 14 | | 40 | 65 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 68 | | matches | | 0 | "was swallowed" | | 1 | "being wiped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 126 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 68 | | ratio | 0.059 | | matches | | 0 | "Aurora glanced at the rows of old maps and black‑and‑white photographs that lined the walls—images of Soho from decades past, of faces she didn’t know, of streets that had changed while she was away." | | 1 | "She felt a strange kinship with the stranger—someone else navigating the same streets, same rain, same relentless pace." | | 2 | "The memory of the accident that caused it—a fall from a bicycle when she was ten—flashed behind her eyelids, brief and sharp." | | 3 | "The bar continued its low rhythm—glasses being wiped, laughter murmured from a corner, the occasional hiss of the espresso machine from the kitchen behind the bead curtain." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 870 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.020689655172413793 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0022988505747126436 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 17.16 | | std | 8.1 | | cv | 0.472 | | sampleLengths | | 0 | 27 | | 1 | 11 | | 2 | 24 | | 3 | 23 | | 4 | 13 | | 5 | 18 | | 6 | 24 | | 7 | 6 | | 8 | 3 | | 9 | 13 | | 10 | 25 | | 11 | 9 | | 12 | 13 | | 13 | 15 | | 14 | 11 | | 15 | 11 | | 16 | 17 | | 17 | 25 | | 18 | 8 | | 19 | 24 | | 20 | 15 | | 21 | 13 | | 22 | 15 | | 23 | 39 | | 24 | 23 | | 25 | 20 | | 26 | 13 | | 27 | 20 | | 28 | 3 | | 29 | 25 | | 30 | 26 | | 31 | 9 | | 32 | 14 | | 33 | 34 | | 34 | 28 | | 35 | 29 | | 36 | 14 | | 37 | 25 | | 38 | 8 | | 39 | 32 | | 40 | 9 | | 41 | 18 | | 42 | 18 | | 43 | 18 | | 44 | 7 | | 45 | 7 | | 46 | 14 | | 47 | 22 | | 48 | 19 | | 49 | 25 |
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| 42.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.1323529411764706 | | totalSentences | 68 | | uniqueOpeners | 9 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 51.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 45 | | matches | | 0 | "She paused just inside, letting" | | 1 | "Her eyes swept the room," | | 2 | "She let out a short" | | 3 | "She brushed a strand of" | | 4 | "She let her hands rest" | | 5 | "He set one in front" | | 6 | "She stared into the depths" | | 7 | "He took a slow sip," | | 8 | "She set the glass down" | | 9 | "He lifted his glass again," | | 10 | "She felt a strange kinship" | | 11 | "She traced the edge with" | | 12 | "She remembered the sting, the" | | 13 | "He lifted his glass once" | | 14 | "She realized she had been" | | 15 | "She rose from the stool," | | 16 | "She paused, hand resting on" | | 17 | "She looked at Silas one" | | 18 | "She pulled her coat tighter," |
| | ratio | 0.422 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 45 | | matches | | 0 | "Aurora shoved the heavy oak" | | 1 | "Rain clung to her coat," | | 2 | "She paused just inside, letting" | | 3 | "The scent of polished wood" | | 4 | "Her eyes swept the room," | | 5 | "Silas Blackwood stood with his" | | 6 | "The slight limp in his" | | 7 | "Aurora’s breath caught." | | 8 | "She let out a short" | | 9 | "She brushed a strand of" | | 10 | "Silas pushed a stool toward" | | 11 | "The wood groaned under the" | | 12 | "Aurora slid onto the stool," | | 13 | "She let her hands rest" | | 14 | "The scar on her wrist" | | 15 | "Silas poured two measures of" | | 16 | "He set one in front" | | 17 | "Aurora lifted the glass, feeling" | | 18 | "She stared into the depths" | | 19 | "Silas nodded, his hazel eyes" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 4 | | matches | | 0 | "Aurora shoved the heavy oak door of The Raven’s Nest open, the bell above jangling a thin note that was swallowed by the low hum of conversation." | | 1 | "Aurora glanced at the rows of old maps and black‑and‑white photographs that lined the walls—images of Soho from decades past, of faces she didn’t know, of stree…" | | 2 | "Aurora followed his gaze, watching the courier exchange a quick nod with Silas before disappearing into the kitchen." | | 3 | "She realized she had been standing at the door for longer than she intended, the rain outside now a steady drizzle that turned the streets into shining ribbons." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |